Beast code in Giters

Keju Huang's starred repositories

Angular-Penalty-Softmax-Losses-Pytorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

Language:PythonMIT47900

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

Language:Matlab16400

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Language:PythonMIT1394200

ENAS-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

Language:PythonApache-2.0269100

darts

Differentiable architecture search for convolutional and recurrent networks

Language:PythonApache-2.0390100

TCN

Sequence modeling benchmarks and temporal convolutional networks

Language:PythonMIT410800

EEG-Explanation-model

Classification and Explanation Model of Brain Signal based on Deep Learning Model

Language:PythonApache-2.07000

Signal-Processing-and-Pattern-Classification

Signal-Processing-and-Pattern-Classification - Atrial fibrillation & PCG classification

Language:Jupyter Notebook5100

MLDG

The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, https://arxiv.org/pdf/1710.03463.pdf

Language:PythonMIT13600

interpret

Fit interpretable models. Explain blackbox machine learning.

Language:C++MIT617500

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

Language:PythonMIT1615800

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

371000

awesome-transfer-learning

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

170400

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Language:Jupyter Notebook2000300

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

MIT501800

Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Language:Python3786700

Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Language:Jupyter NotebookMIT3695900

deepbayes-2018

Seminars DeepBayes Summer School 2018

Language:Jupyter Notebook104500

nnplot

python scripts for plotting various neural network architectures

Language:Python1200

NTM-One-Shot-TF

One Shot Learning using Memory-Augmented Neural Networks (MANN) based on Neural Turing Machine architecture in Tensorflow

Language:PythonMIT24400

ntm-one-shot

One-shot Learning with Memory-Augmented Neural Networks

Language:PythonMIT42100

pysc2

StarCraft II Learning Environment

Language:PythonApache-2.0798900

pix2pix

Image-to-image translation with conditional adversarial nets

Language:LuaNOASSERTION1005100

gym-starcraft

StarCraft environment for OpenAI Gym, based on Facebook's TorchCraft. (In progress)

Language:Python52600

DeepLearningFlappyBird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

Language:PythonMIT663600

Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling, but wait... there's more! (An implementation of Semantic Style Transfer.)

Language:PythonAGPL-3.0988600

DQN-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Language:PythonMIT246600

deep-rl-tensorflow

TensorFlow implementation of Deep Reinforcement Learning papers

Language:PythonMIT159400

huangkeju